Vovk, A;
Chan, D;
Patel, A;
(2019)
Augmented Reality for Early Alzheimer's Disease Diagnosis.
In: Brewster, S and Fitzpatrick, G, (eds.)
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems.
Association for Computing Machinery (ACM): New York, NY, USA.
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Chan_MSR AR for Alzheimer's paper.pdf - Accepted Version Download (1MB) | Preview |
Abstract
Alzheimer's disease (AD), the most common type of dementia, is characterised by gradual memory loss. There is an increasing global research effort into strategies for early clinic-based diagnosis at the stage where patients present with mild memory problems. Initiating treatment at this stage would slow the progression of the condition and enable more years of good quality life. This paper presents the ongoing development of an augmented reality system using HoloLens that is designed to test an early onset of Alzheimer's disease. The most important aspects in the early AD diagnostics are the symptoms that appear to be connected with early memory loss, in particular spatial memory. The ability to store and retrieve the memory of a particular event involving an association between items such as the place and the object properties is incorporated in a game environment.
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